PulseAugur
中
实时 13:34:54
English(EN) Ripple 65B reportedly scored 80.5 on Terminal-Bench 2.1, edging Reflection Beam at 80.1. But a separate test scored it 93/157 after timeouts and context caps. W

Ripple 65B 基准测试得分喜忧参半

Ripple 65B 据称在 Terminal-Bench 2.1 基准测试中获得了 80.5 分,略微超过了 Reflection Beam 的 80.1 分。然而,在另一项评估中,Ripple 65B 的得分为 93/157,表明存在超时和上下文限制方面的问题。 AI

影响 喜忧参半的基准测试结果表明 Ripple 65B 在上下文处理和稳定性方面可能存在局限性。

排序理由 AI 模型的基准测试结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Ripple 65B 基准测试得分喜忧参半

本文如何被排名

Signal score
15 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
AI 模型的基准测试结果。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · spaisee ·

    据报道,Ripple 65B 在 Terminal-Bench 2.1 上得分 80.5,略高于 Reflection Beam 的 80.1。但另一项测试显示,在超时和上下文限制后,其得分仅为 93/157。

    Ripple 65B reportedly scored 80.5 on Terminal-Bench 2.1, edging Reflection Beam at 80.1. But a separate test scored it 93/157 after timeouts and context caps. Which result predicts your repo? # AI https:// spaisee.com/article/ripple-65b -puts-open-coding-models-to-a-more-practica…